Classifiers and Regularizers
Classifiers and Regularizers
This tutorial covers the implementation of logistic regression, a special case of GLMs used to model binary outcomes. In this tutorial, we will decode a mouse's left/right decisions from spike train data.
Topics covered in this lesson
- Logistic regression, how it is derived within the GLM theory, and how it is implemented in scikit-learn
- Apply logistic regression to decode choies from neural responses
- Regularization, including the different approaches and the influence of hyperparameters
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